Statistical errors refer to inaccuracies in data analysis and interpretation. They are generally categorized into two main types: Type I and Type II errors. A Type I error occurs when a true null hypothesis is incorrectly rejected, while a Type II error happens when a false null hypothesis is not rejected.
